Collaborative Filtering bases its effectiveness as a recommender system on rating about a set of items provided by a set of users. In our perspective, an agent behaves as a member of a group would do (the agent implicitly belongs to the same "culture" of the group) without extra-effort or direct interaction. In this paper, we introduce the concept of Implicit Culture and propose a general architecture for Systems for Implicit Culture Support. We show how Collaborative Filtering can be considered as an instance of our architecture, and finally, we consider the related work
From Collaborative Filtering to Implicit Culture
Blanzieri, Enrico;
2000
Abstract
Collaborative Filtering bases its effectiveness as a recommender system on rating about a set of items provided by a set of users. In our perspective, an agent behaves as a member of a group would do (the agent implicitly belongs to the same "culture" of the group) without extra-effort or direct interaction. In this paper, we introduce the concept of Implicit Culture and propose a general architecture for Systems for Implicit Culture Support. We show how Collaborative Filtering can be considered as an instance of our architecture, and finally, we consider the related workFile in questo prodotto:
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